Senior Data Platform Engineer (AWS & Databricks)

Job Title: Senior Data Platform Engineer (AWS & Databricks)
Location: Reston VA (3 Days onsite Per week)
Duration: 12+ Months Contract
Job id – 177268

Job Description
We are seeking a Data Platform Infrastructure Engineer with 6+ years of experience and strong AWS cloud skills and hands-on experience supporting modern data platforms such as AWS EMR, AWS Glue, and Databricks across development, test, and production environments.
This resource will be responsible for building, configuring, and maintaining secure, scalable, and production-ready data platform infrastructure. The role requires experience with AWS services, data processing platforms, infrastructure automation, CI/CD support, monitoring, resiliency, governance, and platform optimization.
 
Key Responsibilities

• Design, implement, and manage cloud-based data platform infrastructure across development, test, and production environments
• Work with AWS services such as IAM, VPC, S3, KMS, CloudWatch, Lambda, EMR, Glue, and related networking/security services
• Provision, configure, and support data processing platforms including EMR, Glue, and Databricks
• Implement secure networking, connectivity, encryption, and access controls
• Manage identity, role-based access, secrets, and platform security configurations
• Support data governance, cataloging, metadata management, and storage integration
• Automate infrastructure deployment and configuration using Terraform
• Support CI/CD processes for platform deployment and environment promotion in GitLab
• Establish monitoring, alerting, logging, and operational support processes
• Support resiliency, disaster recovery, backup, and recovery planning activities
• Define and enforce cost, performance, security, and usage guardrails for the platform

 
Required Experience

• Development Experience with Python and PySpark
• Experience managing Databricks platform infrastructure
• Experience with AWS services and developing solutions in the AWS cloud, including but not limited to:
  • EC2, Lambda, S3, EFS, Glue, EMR, CloudWatch, IAM
• Experience with AI-assisted development tools and practices

 
Desired Experience

• Strong written and verbal communication skills.
• Self-driven individual with the ability to take initiative, demonstrate accountability, and assume responsibility.
• Ability to work independently with minimal guidance or supervision.
• Ability to learn quickly and master new technical and business areas.

ience supporting modern data platforms such as AWS EMR, AWS Glue, and Databricks across development, test, and production environments.
This resource will be responsible for building, configuring, and maintaining secure, scalable, and production-ready data platform infrastructure. The role requires experience with AWS services, data processing platforms, infrastructure automation, CI/CD support, monitoring, resiliency, governance, and platform optimization.
 
Key Responsibilities

• Design, implement, and manage cloud-based data platform infrastructure across development, test, and production environments
• Work with AWS services such as IAM, VPC, S3, KMS, CloudWatch, Lambda, EMR, Glue, and related networking/security services
• Provision, configure, and support data processing platforms including EMR, Glue, and Databricks
• Implement secure networking, connectivity, encryption, and access controls
• Manage identity, role-based access, secrets, and platform security configurations
• Support data governance, cataloging, metadata management, and storage integration
• Automate infrastructure deployment and configuration using Terraform
• Support CI/CD processes for platform deployment and environment promotion in GitLab
• Establish monitoring, alerting, logging, and operational support processes
• Support resiliency, disaster recovery, backup, and recovery planning activities
• Define and enforce cost, performance, security, and usage guardrails for the platform

 
Required Experience

• Development Experience with Python and PySpark
• Experience managing Databricks platform infrastructure
• Experience with AWS services and developing solutions in the AWS cloud, including but not limited to:
  • EC2, Lambda, S3, EFS, Glue, EMR, CloudWatch, IAM
• Experience with AI-assisted development tools and practices

 
Desired Experience

• Strong written and verbal communication skills.
• Self-driven individual with the ability to take initiative, demonstrate accountability, and assume responsibility.
• Ability to work independently with minimal guidance or supervision.
• Ability to learn quickly and master new technical and business areas.

About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com
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Pay Range: $75-80/hr.
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
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